Optimal sizing of diesel-electric hybrid powertrain for locomotive
The sizing parameters of the hybrid powertrain affect the life cycle cost of locomotives, which is critical for the development of hybrid locomotives. Although the traditional bi-loop optimal sizing method can generate the optimal parameters, the dynamic programming algorithms used as the inner-loop...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Electric Drive for Locomotives
2022-05-01
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| Series: | 机车电传动 |
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| Online Access: | http://edl.csrzic.com/thesisDetails#10.13890/j.issn.1000-128X.2022.03.012 |
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| author | ZHANG Chi WU Jian ZHANG Weige ZHENG Xinjie CHE Zhanghang ZHU Zhenlin |
| author_facet | ZHANG Chi WU Jian ZHANG Weige ZHENG Xinjie CHE Zhanghang ZHU Zhenlin |
| author_sort | ZHANG Chi |
| collection | DOAJ |
| description | The sizing parameters of the hybrid powertrain affect the life cycle cost of locomotives, which is critical for the development of hybrid locomotives. Although the traditional bi-loop optimal sizing method can generate the optimal parameters, the dynamic programming algorithms used as the inner-loop to improve energy management strategy results in a long computation time. A fast bi-loop optimal sizing method was proposed in this paper. In the outer loop, the particle swarm algorithm was applied to optimize the sizing parameters, aimed at reducing the life cycle cost. In the inner loop, the Pontryagin’s minimum principle (PMP) was applied to optimize the energy management for each sizing parameter generated in the outer loop, aimed at reducing train fuel consumption and improving battery life. Then the optimal results were fed back to the outer loop. It was shown from simulations that the fast bi-loop optimal sizing method proposed in this paper can not only generate the same optimal sizing parameters as the traditional bi-loop optimal sizing method, but also significantly improve the computation speed. |
| format | Article |
| id | doaj-art-277fafe6bbf94e32bdb73be0813b3fce |
| institution | DOAJ |
| issn | 1000-128X |
| language | zho |
| publishDate | 2022-05-01 |
| publisher | Editorial Department of Electric Drive for Locomotives |
| record_format | Article |
| series | 机车电传动 |
| spelling | doaj-art-277fafe6bbf94e32bdb73be0813b3fce2025-08-20T03:09:28ZzhoEditorial Department of Electric Drive for Locomotives机车电传动1000-128X2022-05-018910128358856Optimal sizing of diesel-electric hybrid powertrain for locomotiveZHANG ChiWU JianZHANG WeigeZHENG XinjieCHE ZhanghangZHU ZhenlinThe sizing parameters of the hybrid powertrain affect the life cycle cost of locomotives, which is critical for the development of hybrid locomotives. Although the traditional bi-loop optimal sizing method can generate the optimal parameters, the dynamic programming algorithms used as the inner-loop to improve energy management strategy results in a long computation time. A fast bi-loop optimal sizing method was proposed in this paper. In the outer loop, the particle swarm algorithm was applied to optimize the sizing parameters, aimed at reducing the life cycle cost. In the inner loop, the Pontryagin’s minimum principle (PMP) was applied to optimize the energy management for each sizing parameter generated in the outer loop, aimed at reducing train fuel consumption and improving battery life. Then the optimal results were fed back to the outer loop. It was shown from simulations that the fast bi-loop optimal sizing method proposed in this paper can not only generate the same optimal sizing parameters as the traditional bi-loop optimal sizing method, but also significantly improve the computation speed.http://edl.csrzic.com/thesisDetails#10.13890/j.issn.1000-128X.2022.03.012hybrid powertrainbi-loop optimizationenergy management strategyparticle swarm optimizationPontryagin's minimum principlesimulation |
| spellingShingle | ZHANG Chi WU Jian ZHANG Weige ZHENG Xinjie CHE Zhanghang ZHU Zhenlin Optimal sizing of diesel-electric hybrid powertrain for locomotive 机车电传动 hybrid powertrain bi-loop optimization energy management strategy particle swarm optimization Pontryagin's minimum principle simulation |
| title | Optimal sizing of diesel-electric hybrid powertrain for locomotive |
| title_full | Optimal sizing of diesel-electric hybrid powertrain for locomotive |
| title_fullStr | Optimal sizing of diesel-electric hybrid powertrain for locomotive |
| title_full_unstemmed | Optimal sizing of diesel-electric hybrid powertrain for locomotive |
| title_short | Optimal sizing of diesel-electric hybrid powertrain for locomotive |
| title_sort | optimal sizing of diesel electric hybrid powertrain for locomotive |
| topic | hybrid powertrain bi-loop optimization energy management strategy particle swarm optimization Pontryagin's minimum principle simulation |
| url | http://edl.csrzic.com/thesisDetails#10.13890/j.issn.1000-128X.2022.03.012 |
| work_keys_str_mv | AT zhangchi optimalsizingofdieselelectrichybridpowertrainforlocomotive AT wujian optimalsizingofdieselelectrichybridpowertrainforlocomotive AT zhangweige optimalsizingofdieselelectrichybridpowertrainforlocomotive AT zhengxinjie optimalsizingofdieselelectrichybridpowertrainforlocomotive AT chezhanghang optimalsizingofdieselelectrichybridpowertrainforlocomotive AT zhuzhenlin optimalsizingofdieselelectrichybridpowertrainforlocomotive |